| Literature DB >> 35664163 |
Umer Zaman1, Mohammad Nasar Khan2, Syed Hassan Raza3, Pablo Farías4.
Abstract
Project managers seem to be puzzled in resolving the global dilemma of project failures across industries. Hence, the present study introduces project management innovation (PMI) as a determinant of project success (PS) and explores whether project governance (PG) and high-performance work practices (HPWPs), strengthen this relationship. To confirm these propositions, study data using adapted scales were collected from project professionals representing software development companies in the emerging IT industry in Pakistan. Structural equation modeling (SEM) was employed to examine the hypothesized relationships and encourage PMI-guided solutions for project failures. SEM results statistically validated that project success is positively influenced by PMI, whereas this relationship is significantly strengthened through the moderating influence of PG and HPWPs, respectively. Theoretically, the present research is the first of its kind to introduce and empirically examine these untested relationships between PMI, PG, HPWPs, and PS in a single framework. These novel findings hold strategic value for both project managers and organizational leaders who oversee a range of project portfolios. Long-lasting advantages and superior achievements can be reinvigorated through PMI, after departure from traditional approaches and answering calls for new solutions to new problems in managing projects. Moreover, project governance and HPWPs should be reconfigured to oversee, as well as meet the special needs of each unique project.Entities:
Keywords: high-performance work practices; project governance; project management innovation; project success; structural equation modeling
Year: 2022 PMID: 35664163 PMCID: PMC9157240 DOI: 10.3389/fpsyg.2022.902816
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual model.
Descriptive and correlation analysis.
| Variables | M | SD | α | PMI | HPWP | PG | PS |
| PMI | 4.0244 | 0.740 | 0.88 | 1 | |||
| HPWP | 3.9266 | 0.761 | 0.91 | 0.571 | 1 | ||
| PG | 3.8051 | 0.629 | 0.81 | 0.612 | 0.684 | 1 | |
| PS | 3.9674 | 0.730 | 0.94 | 0.679 | 0.706 | 0.659 | 1 |
*Correlation is significant at the 0.01 level (two-tailed), PMI, project management innovation; HPWP, high-performance work practices; PG, Project performance; PS, project success.
Measurement model fit indices.
| Model |
| GFI | IFI | CFI | TLI | RMSEA | SRMR | |
| Recommended Values | − | <3.0 | >0.90 | >0.90 | >0.90 | >0.90 | <0.60 | <0.08 |
| Measurement Model | 1595.516 | 2.57 | 0.92 | 0.91 | 0.91 | 0.90 | 0.060 | 0.053 |
| Structural Model | 2081.299 | 3.34 | 0.98 | 0.97 | 0.96 | 0.95 | 0.034 | 0.045 |
Convergent and discriminant validity.
| Variables | CR | AVE | PMI | HPWP | PG | PS |
| PMI | 0.886 | 0.612 | (0.782) | |||
| HPWP | 0.953 | 0.593 | 0.62 | (0.771) | ||
| PG | 0.932 | 0.664 | 0.37 | 0.45 | (0.815) | |
| PS | 0.940 | 0.588 | 0.58 | 0.34 | 0.46 | (0.767) |
AVE, average variance extracted; CR, composite reliability. Values in parentheses represent the square root of AVE.
Confirmatory factor analysis: standardized loading.
| Items | PMI | HPWP | PG | PS |
| PMI1 | 0.80 | |||
| PMI2 | 0.84 | |||
| PMI3 | 0.67 | |||
| PMI4 | 0.76 | |||
| PMI5 | 0.83 | |||
| HPWP1 | 0.69 | |||
| HPWP2 | 0.76 | |||
| HPWP3 | 0.77 | |||
| HPWP4 | 0.89 | |||
| HPWP5 | 0.74 | |||
| HPWP6 | 0.79 | |||
| HPWP7 | 0.41 | |||
| HPWP8 | 0.82 | |||
| HPWP9 | 0.86 | |||
| HPWP10 | 0.78 | |||
| HPWP11 | 0.76 | |||
| HPWP12 | 0.75 | |||
| HPWP13 | 0.73 | |||
| HPWP14 | 0.69 | |||
| HPWP15 | 0.73 | |||
| PG1 | 0.84 | |||
| PG2 | 0.86 | |||
| PG3 | 0.42 | |||
| PG4 | 0.91 | |||
| PG5 | 0.85 | |||
| PG6 | 0.56 | |||
| PG7 | 0.77 | |||
| PG8 | 0.72 | |||
| PG9 | 0.74 | |||
| PS1 | 0.76 | |||
| PS2 | 0.69 | |||
| PS3 | 0.77 | |||
| PS4 | 0.80 | |||
| PS5 | 0.79 | |||
| PS6 | 0.79 | |||
| PS7 | 0.77 | |||
| PS8 | 0.75 | |||
| PS9 | 0.77 | |||
| PS10 | 0.79 | |||
| PS11 | 0.75 |
*Items deleted (03 items were deleted to achieve model fitness HPWP7, PG3, and PG6).
FIGURE 2Measurement model.
CB-SEM estimations for hypothesis testing.
| Model 1: Direct paths | β |
|
| Hypothesis | |
| PG → PS | 0.18 | 4.269 | <0.01 | 0.63 | |
| HPWP → PS | 0.38 | 9.161 | <0.01 | ||
| PMI → PS | 0.35 | 9.046 | <0.01 | H1 Supported | |
|
| |||||
| PMI → PS | 0.40 | 12.61 | <0.01 | 0.75 | |
| PG-X-MPMI → PS | 0.21 | 10.16 | <0.01 | H2 Supported | |
| HPWP-X-MPMI → PS | 0.19 | 7.90 | <0.01 | H3 Supported |
PMI, project management innovation; HPWP, high-performance work practices; PG, project performance; PS, project success.
FIGURE 3Structural model 1 (direct paths without moderators).
FIGURE 4Structural model 2 (with two moderators).